Abstract #1408
Fully-Automated Single-Image T2 White Matter Hyperintensity Mapping and Quantification with FSL
Nathan C Wetter 1,2 , Elizabeth A Hubbard 3 , Robert W Motl 3 , and Bradley P Sutton 1,2
1
Bioengineering, University of Illinois at
Urbana-Champaign, Urbana, IL, United States,
2
Beckman
Institute for Advanced Science and Technology,
University of Illinois at Urbana-Champaign, IL, United
States,
3
Kinesiology
and Community Health, University of Illinois at
Urbana-Champaign, IL, United States
T2 white matter hyperintensities are a defining clinical
feature of Multiple Sclerosis (MS), and T2 Lesion
Volumes (T2LV) have been an important biomarker in MS
research. Numerous methods have been proposed for T2LV
quantification, but they usually require human
intervention and multiple images, and are not easily
accessible. We propose, to the best of our knowledge,
the first fully-automated, single-image T2LV
quantification method. It is based upon the widely
popular open-source imaging toolkit FSL, combining its
components in an intuitive way to produce reliable,
consistent lesion volumes and masks.
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